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MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

MIT 6.046J Design and Analysis of Algorithms, Spring 2015 View the complete course: http://ocw.mit.edu/6-046JS15 Instructor: ...

So in summary what did you learn well you learn about row approximation algorithm specifically about two approximate algorithm ...

CMU 15-251: Great Ideas in Theoretical Computer Science Spring 2016 Lecture #15: Approximation Algorithms ...

This is the first video in a series on approximation algorithms. I briefly review the basic underlying concepts and then take a look at ...

Okay so I want to start talking now about you know some approximation algorithm to just give you some examples there's one like ...

This video provides you a detailed introduction for approximation algorithms and its relevance. It also covers the Vertex Cover ...

Introduction to approximation algorithms. Scheduling, knapsack, Steiner tree, set coverage, influence maximization. Full course ...

MIT 6.100L Introduction to CS and Programming using Python, Fall 2022 Instructor: Ana Bell View the complete course: ...

Anupam Gupta, Carnegie Mellon University https://simons.berkeley.edu/talks/anupam-gupta-10-07-2016 Uncertainty in ...

This is a short lecture on "The P versus NP problem" by Prof. Naveen Garg of Computer Science department at the IIT-Delhi.

In this video I cover: - a 2-approximation for the MinCost Steiner Tree Problem (by the Minimum Spanning Tree (MST) on the ...

It means our algorithm is a randomized eight-sevenths approximation algorithm! Or, as the slide aptly puts it in simpler terms, ...

Augmentation Problems are a fundamental class of Network Design Problems. In short, the goal is to find a cheapest way to ...

P vs NP Satisfiability Reduction NP-Hard vs NP-Complete P=NP PATREON : https://www.patreon.com/bePatron?u=20475192 ...

Rasmus Pagh is a Danish computer scientist and professor of computer science at the University of Copenhagen. His main work ...

This is a lecture from the course "Discrete Optimization" at the University of Victoria taught in 2025. The topic of this lecture is the ...

Talks on Frontiers of Parameterized Complexity https://frontpc.blogspot.com Keywords: Connected obstacles, FPT May 27, 2021 ...

MIT 6.0001 Introduction to Computer Science and Programming in Python, Fall 2016 View the complete course: ...

In this video I introduce set cover, show a greedy approximation algorithm for computing the min-cost set cover, and analyze this ...